MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach
Journal Article

Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach

2023
Request Book From Autostore and Choose the Collection Method
Overview
This paper addresses the internal rate of return (IRR) assessment of subsidised production. The difference between the result of IRR calculation and the reality can be largely attributed to uncertainty about the future market price and demand. Thus, in the IRR model the intervals of possible input values instead of uncertain point values should be taken into account. Within the intervals of the input values there is no relevant reason to prefer one value over another. The fuzzy approach is applied to decide whether or not the system of subsidies is adequate in terms of IRR. It leans on the “fuzzy numbers”, which are generalisations of real numbers within the meaning of not referring to a single value but rather to intervals of possible values. The results are then compared with the conventional statistical approach of IRR single-value evaluation. The analogy between the conventional statistical and fuzzy approach is shown on the theoretical level. The practical contribution of this paper lies in the IRR assessment of a subsidised electric car production project. Two scenarios of possible project development are considered. In the study, we derive the algorithm to calculate the average probability of the appearance of the subjectively expected IRR, which is compared with the minimum required profitability. We show that the IRR evaluation of the subsidised production should not be underestimated. The need to verify the adequacy of a subsidised project by a proper tool is given by the fact that many investors mistakenly believe that subsidies will ensure the required profitability. The use of statistical methods in a state of uncertainty can lead to misleading results. The fuzzy analysis offers the investors involving the subjective risk in their decision making more benefits and brings more information compared to statistical approach.